Speaking style adaptation using context clustering decision tree for HMM-based speech synthesis
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Takao Kobayashi | Junichi Yamagishi | Takashi Masuko | Makoto Tachibana | J. Yamagishi | T. Masuko | M. Tachibana | Takao Kobayashi
[1] Philip C. Woodland,et al. Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models , 1995, Comput. Speech Lang..
[2] Keiichi Tokuda,et al. Text-to-speech synthesis with arbitrary speaker's voice from average voice , 2001, INTERSPEECH.
[3] S. J. Young,et al. Tree-based state tying for high accuracy acoustic modelling , 1994 .
[4] Keiichi Tokuda,et al. Adaptation of pitch and spectrum for HMM-based speech synthesis using MLLR , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[5] Keiichi Tokuda,et al. An adaptive algorithm for mel-cepstral analysis of speech , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[6] Koichi Shinoda,et al. MDL-based context-dependent subword modeling for speech recognition , 2000 .
[7] Takao Kobayashi,et al. Modeling of various speaking styles and emotions for HMM-based speech synthesis , 2003, INTERSPEECH.
[8] Keiichi Tokuda,et al. Hidden Markov models based on multi-space probability distribution for pitch pattern modeling , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).